21.3.6.2.2 Emotion Recognition, Survey, General, Review, Datasets, Database

Chapter Contents (Back)
Emotion Recognition. Survey, Emotion Recognition.

Affectiva, Inc.,
2009.
WWW Link. Vendor, Emotion Recognition. From the MIT Medial Lab work. Measurement and communication of emotion.

Emotient Analytics,
2009.
WWW Link. Vendor, Emotion Recognition. Advertising, demographics, monitoring views, etc.

Evoked Expressions in Video (EEV) Dataset,
2021
WWW Link. Novel dataset collected using reaction videos, to study facial expressions variations as viewers watch the video

Coan, J.A., Allen, J.B., eds.,
The Handbook of Emotion Elicitation and Assessment,
Oxford University Press2006. Indexed as: BibRef 0600 EmotionElicitation06 BibRef

Petridis, S.[Stavros], Martinez, B.[Brais], Pantic, M.[Maja],
The MAHNOB Laughter database,
IVC(31), No. 2, February 2013, pp. 186-202.
Elsevier DOI 1303
Dataset, Laughter. Laughter; Audiovisual; Thermal; Database; Audiovisual automatic laughter-speech discrimination BibRef

Cao, H.[Houwei], Cooper, D.G., Keutmann, M.K., Gur, R.C., Nenkova, A., Verma, R.,
CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset,
AffCom(5), No. 4, October 2014, pp. 377-390.
IEEE DOI 1503
emotion recognition BibRef

Sariyanidi, E.[Evangelos], Gunes, H.[Hatice], Cavallaro, A.[Andrea],
Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition,
PAMI(37), No. 6, June 2015, pp. 1113-1133.
IEEE DOI 1506
Survey, Facial Affect. BibRef
Earlier:
Probabilistic Subpixel Temporal Registration for Facial Expression Analysis,
ACCV14(IV: 320-335).
Springer DOI 1504
Emotion recognition BibRef

Wang, S., Ji, Q.,
Video Affective Content Analysis: A Survey of State-of-the-Art Methods,
AffCom(6), No. 4, October 2015, pp. 410-430.
IEEE DOI 1512
Survey, Affect Analsis. Content analysis BibRef

Abadi, M.K., Subramanian, R., Kia, S.M., Avesani, P., Patras, I., Sebe, N.,
DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses,
AffCom(6), No. 3, July 2015, pp. 209-222.
IEEE DOI 1509
Dataset, Affective Responses. Databases BibRef

Provost, E.M., Shangguan, Y., Busso, C.,
UMEME: University of Michigan Emotional McGurk Effect Data Set,
AffCom(6), No. 4, October 2015, pp. 395-409.
IEEE DOI 1512
Dataset, Emotion Recognition. Emotion recognition BibRef

Wei, Q.L.[Qing-Lan], Sun, B.[Bo], He, J.[Jun], Yu, L.J.[Le-Jun],
BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels,
SP:IC(59), No. 1, 2017, pp. 168-181.
Elsevier DOI 1711
Multimodal BibRef

Busso, C., Parthasarathy, S., Burmania, A., Abdel Wahab, M., Sadoughi, N., Provost, E.M.,
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception,
AffCom(8), No. 1, January 2017, pp. 67-80.
IEEE DOI 1703
Affective computing BibRef

Zhalehpour, S., Onder, O., Akhtar, Z., Erdem, C.E.,
BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States,
AffCom(8), No. 3, July 2017, pp. 300-313.
IEEE DOI 1709
Affective computing, Cameras, Databases, Emotion recognition, Face, Face recognition, Facial expression recognition, affective computing, audio-visual affective database, dynamic facial expression database, emotion recognition from speech, emotional corpora, mental state recognition, spontaneous, expressions BibRef

Yan, J.J.[Jing-Jie], Wang, B.[Bei], Liang, R.[Ruiyu],
A Novel Bimodal Emotion Database from Physiological Signals and Facial Expression,
IEICE(E101-D), No. 7, July 2018, pp. 1976-1979.
WWW Link. 1807
Dataset, Emotions. BibRef

Lee, J.Y.[Ji-Young], Kim, S.R.[Seung-Ryong], Kim, S.[Sunok], Park, J.[Jungin], Sohn, K.H.[Kwang-Hoon],
Context-Aware Emotion Recognition Networks,
ICCV19(10142-10151)
IEEE DOI 2004
Dataset, Emotion Recognition.
WWW Link. emotion recognition, face recognition, feature extraction, image fusion, neural nets, visual scene, boosting manner, Adaptive systems BibRef

Kollias, D.[Dimitrios], Tzirakis, P.[Panagiotis], Nicolaou, M.A.[Mihalis A.], Papaioannou, A.[Athanasios], Zhao, G.Y.[Guo-Ying], Schuller, B.[Björn], Kotsia, I.[Irene], Zafeiriou, S.P.[Stefanos P.],
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond,
IJCV(127), No. 6-7, June 2019, pp. 907-929.
Springer DOI 1906
BibRef
Earlier: A1, A3, A7, A5, A8, Only:
Recognition of Affect in the Wild Using Deep Neural Networks,
FaceWild17(1972-1979)
IEEE DOI 1709
Computer architecture, Databases, Estimation, Kernel, Recurrent neural networks, Training, Visualization BibRef

Zafeiriou, S.P.[Stefanos P.], Kollias, D.[Dimitrios], Nicolaou, M.A.[Mihalis A.], Papaioannou, A.[Athanasios], Zhao, G.Y.[Guo-Ying], Kotsia, I.[Irene],
Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge,
FaceWild17(1980-1987)
IEEE DOI 1709
Databases, Distance measurement, Estimation, Motion pictures, Tools, Videos, YouTube BibRef

Kosti, R.[Ronak], Alvarez, J.M.[Jose M.], Recasens, A.[Adria], Lapedriza, A.[Agata],
Context Based Emotion Recognition Using EMOTIC Dataset,
PAMI(42), No. 11, November 2020, pp. 2755-2766.
IEEE DOI 2010
Emotion recognition, Databases, Face, Face recognition, Observers, affective computing, pattern recognition BibRef
Earlier:
Emotion Recognition in Context,
CVPR17(1960-1968)
IEEE DOI 1711
BibRef
Earlier:
EMOTIC: Emotions in Context Dataset,
DeepAffective17(2309-2317)
IEEE DOI 1709
Computer vision, Databases, Distance measurement, Emotion recognition, Face, Face recognition, Image, recognition BibRef


Yan, W.J.[Wen-Jing], Li, S.[Shan], Que, C.[Chengtao], Pei, J.[Jiquan], Deng, W.H.[Wei-Hong],
RAF-AU Database: In-the-wild Facial Expressions with Subjective Emotion Judgement and Objective Au Annotations,
ACCV20(VI:68-82).
Springer DOI 2103
BibRef

Vicol, P.[Paul], Tapaswi, M.[Makarand], Castrejón, L.[Lluís], Fidler, S.[Sanja],
MovieGraphs: Towards Understanding Human-Centric Situations from Videos,
CVPR18(8581-8590)
IEEE DOI 1812

WWW Link. Dataset, Gestures. Videos of social situations to teach robots to understand people. Videos, Motion pictures, Semantics, Natural languages, Face, Automobiles, Legged locomotion BibRef

Panda, R.[Rameswar], Zhang, J.M.[Jian-Ming], Li, H.X.[Hao-Xiang], Lee, J.Y.[Joon-Young], Lu, X.[Xin], Roy-Chowdhury, A.K.[Amit K.],
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias,
ECCV18(II: 594-612).
Springer DOI 1810
BibRef

Balouchian, P., Foroosh, H.[Hassan],
Context-Sensitive Single-Modality Image Emotion Analysis: A Unified Architecture from Dataset Construction to CNN Classification,
ICIP18(1932-1936)
IEEE DOI 1809
Emotion recognition, Training, Visualization, Context modeling, Single-Modality Classification BibRef

Nguyen, H.[Hung], Kotani, K.[Kazunori], Chen, F.[Fan], Le, B.[Bac],
A Thermal Facial Emotion Database and Its Analysis,
PSIVT13(397-408).
Springer DOI 1402
Dataset, Facial Expression. BibRef

Wang, W.N.[Wei-Ning], He, Q.H.[Qian-Hua],
A survey on emotional semantic image retrieval,
ICIP08(117-120).
IEEE DOI 0810
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition, Body Gestures, Body Language .


Last update:Apr 5, 2021 at 20:03:28